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Socio-economic and demographic determinants of tobacco use in Kenya: findings from the Kenya Demographic and Health Survey 2014
INTRODUCTION: Every year, more than 6,000 Kenyans die of tobacco related diseases (79 men and 37 women die per week), while more than 220,000 children and more than 2,737,000 adults continue to use tobacco each day. Some suggest that these numbers will rise without concerted efforts to strengthen th...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The African Field Epidemiology Network
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6235476/ https://www.ncbi.nlm.nih.gov/pubmed/30455795 http://dx.doi.org/10.11604/pamj.2018.30.166.14771 |
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author | Magati, Peter Drope, Jeffrey Mureithi, Leopold Lencucha, Raphael |
author_facet | Magati, Peter Drope, Jeffrey Mureithi, Leopold Lencucha, Raphael |
author_sort | Magati, Peter |
collection | PubMed |
description | INTRODUCTION: Every year, more than 6,000 Kenyans die of tobacco related diseases (79 men and 37 women die per week), while more than 220,000 children and more than 2,737,000 adults continue to use tobacco each day. Some suggest that these numbers will rise without concerted efforts to strengthen the implementation of tobacco control measures. To date, there remains much to be learned about what contributes to tobacco consumption in Kenya. This study analyses the socio-economic and demographic determinants of tobacco use in Kenya. METHODS: To analyze the determinants of tobacco use in Kenya, this study uses the 2014 Kenya Demographic and Health Survey. A logistic regression is used to estimate the probability of an individual smoking, given a set of socio-economic and demographic characteristics. RESULTS: Results suggest that the overall smoking and smokeless prevalence rate is 17.3% and 3.10% respectively among men. Women have low rates with smoking and smokeless prevalence standing at 0.18% and 0.93% respectively. However, for both genders, tobacco use is influenced by age, marital status, residence, region, educational status and gender. CONCLUSION: Socio-economic, demographic and geographic disparities on tobacco use should be explored in order to ensure prudent allocation of resources used for tobacco control initiatives. Allocation of resources for tobacco control including monitoring advertisements, sales to underage persons and general distribution of human resource for tobacco control should be based on socio-economic and demographic dynamics. |
format | Online Article Text |
id | pubmed-6235476 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | The African Field Epidemiology Network |
record_format | MEDLINE/PubMed |
spelling | pubmed-62354762018-11-19 Socio-economic and demographic determinants of tobacco use in Kenya: findings from the Kenya Demographic and Health Survey 2014 Magati, Peter Drope, Jeffrey Mureithi, Leopold Lencucha, Raphael Pan Afr Med J Research INTRODUCTION: Every year, more than 6,000 Kenyans die of tobacco related diseases (79 men and 37 women die per week), while more than 220,000 children and more than 2,737,000 adults continue to use tobacco each day. Some suggest that these numbers will rise without concerted efforts to strengthen the implementation of tobacco control measures. To date, there remains much to be learned about what contributes to tobacco consumption in Kenya. This study analyses the socio-economic and demographic determinants of tobacco use in Kenya. METHODS: To analyze the determinants of tobacco use in Kenya, this study uses the 2014 Kenya Demographic and Health Survey. A logistic regression is used to estimate the probability of an individual smoking, given a set of socio-economic and demographic characteristics. RESULTS: Results suggest that the overall smoking and smokeless prevalence rate is 17.3% and 3.10% respectively among men. Women have low rates with smoking and smokeless prevalence standing at 0.18% and 0.93% respectively. However, for both genders, tobacco use is influenced by age, marital status, residence, region, educational status and gender. CONCLUSION: Socio-economic, demographic and geographic disparities on tobacco use should be explored in order to ensure prudent allocation of resources used for tobacco control initiatives. Allocation of resources for tobacco control including monitoring advertisements, sales to underage persons and general distribution of human resource for tobacco control should be based on socio-economic and demographic dynamics. The African Field Epidemiology Network 2018-06-25 /pmc/articles/PMC6235476/ /pubmed/30455795 http://dx.doi.org/10.11604/pamj.2018.30.166.14771 Text en © Peter Magati et al. http://creativecommons.org/licenses/by/2.0/ The Pan African Medical Journal - ISSN 1937-8688. This is an Open Access article distributed under the terms of the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Magati, Peter Drope, Jeffrey Mureithi, Leopold Lencucha, Raphael Socio-economic and demographic determinants of tobacco use in Kenya: findings from the Kenya Demographic and Health Survey 2014 |
title | Socio-economic and demographic determinants of tobacco use in Kenya: findings from the Kenya Demographic and Health Survey 2014 |
title_full | Socio-economic and demographic determinants of tobacco use in Kenya: findings from the Kenya Demographic and Health Survey 2014 |
title_fullStr | Socio-economic and demographic determinants of tobacco use in Kenya: findings from the Kenya Demographic and Health Survey 2014 |
title_full_unstemmed | Socio-economic and demographic determinants of tobacco use in Kenya: findings from the Kenya Demographic and Health Survey 2014 |
title_short | Socio-economic and demographic determinants of tobacco use in Kenya: findings from the Kenya Demographic and Health Survey 2014 |
title_sort | socio-economic and demographic determinants of tobacco use in kenya: findings from the kenya demographic and health survey 2014 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6235476/ https://www.ncbi.nlm.nih.gov/pubmed/30455795 http://dx.doi.org/10.11604/pamj.2018.30.166.14771 |
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